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---
dataset_info:
features:
- name: repo_name
dtype: string
- name: language
dtype: string
- name: created_at
dtype: string
- name: description
dtype: string
- name: description_language
dtype: string
- name: description_language_score
dtype: float64
- name: license_key
dtype: string
- name: forks_count
dtype: float64
- name: watchers_count
dtype: float64
- name: size
dtype: float64
- name: last_pr_id
dtype: int64
splits:
- name: full
num_bytes: 5567563250
num_examples: 40058194
- name: sample
num_bytes: 138717361
num_examples: 1000000
download_size: 2298358914
dataset_size: 5706280611
configs:
- config_name: default
data_files:
- split: full
path: data/full-*
- split: sample
path: data/sample-*
license: mit
tags:
- code
size_categories:
- 10M<n<100M
---
# 📊 Metadata for 40 million GitHub repositories
[![License](https://img.shields.io/badge/license-MIT-green.svg)](#license)
[![Dataset](https://img.shields.io/badge/format-parquet-blue)]()
[![HF Hub](https://img.shields.io/badge/HuggingFace-available-yellow.svg)]()
A cleaned, analysis-ready dataset with per-repository statistics aggregated from **GH Archive** events: stars, forks, pull requests, open issues, visibility, language signals, and more. Column names mirror the GH Archive / GitHub API semantics where possible.
GitHub repo: https://github.com/ibragim-bad/github-repos-metadata-40M
> Source: [GH Archive](https://www.gharchive.org/) (public GitHub event stream).
## 🚀 Quickstart
```python
from datasets import load_dataset
ds = load_dataset("ibragim-bad/github-repos-metadata-40M", split="full") # or 'sample' for random sample of 1 million repositories.
```
## 📈 EDA Notebook
- `data_visualisation.ipynb`: Simple exploratory data analysis of the dataset (column overview, basic distributions, missing-value checks, sample visualizations).
## 💡 Use cases
* Trend analysis of stars/forks/PRs
* Language mix & repo growth signals
* Ranking by activity / stability
* Input features for ML models (quality or popularity prediction)
## 📦 What’s inside
Each row aggregates repository-level stats derived from GH Archive events and GitHub metadata snapshots.
**Schema (columns & types)**
| Column | Type | Description |
| ------------------- | -------------- | --------------------------------------------------------------------------- |
| `repo_name` | `string` | `owner/name` |
| `language` | `string` | Primary language (human-readable) |
| `created_at` | `timestamp` | Repo creation time (UTC) if available |
| `description` | `string` | Repo description |
| `description_language` | `string` | Detected natural-language code of the repository description (ISO 639-1/2) |
| `description_language_score` | `float32` | Confidence score for description_language (0–1) |
| `license_key` | `string` | SPDX-like license key |
| `forks_count` | `int64` | Current forks count |
| `watchers_count` | `int64` | Watchers/stars count (note: GitHub’s legacy “watchers” vs “stargazers”) |
| `size` | `int64` | Repo size (KB, as reported by GitHub) |
| `last_pr_id` | `int64` | Latest available PR id |
Values may be `null` when unavailable from the source.
## 🏗️ How it’s built (ETL)
- **Data source:** GH Archive public event stream; window through 2025-07-23 (UTC).
- **Event filter:**
- CreateEvent (ref_type=repository) to capture initial repo creation and timestamps.
- PullRequestEvent to obtain rich repo snapshots embedded in PR payloads.
- **Extraction:**
- Parse event.repo and payload.*.repo snapshots for: repo_name (owner/name), description, language, license_key, size, visibility, created_at, open_issues_count, forks_count, watchers_count.
- Track latest observed PR identifier as last_pr_id.
- **Aggregation:**
- Group by repo_name; keep the most recent snapshot within the window.
**Notes**
- Coverage primarily comes from PullRequestEvent snapshots; repositories without any PRs are generally missing.
- Stars/watchers and forks are taken from event-time snapshots and may be slightly stale versus live GitHub.
- Values can be null if not present in the underlying event payloads.
## ⚠️ Limitations
* GH Archive reflects **public** events only; private repos are out of scope.
* Some GitHub fields (e.g., watchers vs stargazers) have historical quirks.
* Missing values where source is unavailable.
## 📚 Citation
If you use this dataset, please cite:
```bibtex
@misc{github_repos_activity_stats_2025,
title = {GitHub Repos Activity Stats (from GH Archive)},
author = {Ibragim Badertdinov},
year = {2025},
howpublished = {\url{https://huggingface.co/datasets/ibraigm-bad/github-repos-metadata-40M}}
}
```
## 📜 License
Distributed under the MIT License. See LICENSE for more information.